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    Reduced prediction error responses in high- as compared to low-uncertainty musical contexts 
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    Reduced prediction error responses in high- as compared to low-uncertainty musical contexts

    Publisher
    bioRxiv
    DOI
    10.1101/422949
    Journal
    bioRxiv
    Metadata
    Show full item record
    Abstract
    Abstract Theories of predictive processing propose that prediction error responses are modulated by the certainty of the predictive model or precision . While there is some evidence for this phenomenon in the visual and, to a lesser extent, the auditory modality, little is known about whether it operates in the complex auditory contexts of daily life. Here, we examined how prediction error responses behave in a more complex and ecologically valid auditory context than those typically studied. We created musical tone sequences with different degrees of pitch uncertainty to manipulate the precision of participants’ auditory expectations. Magnetoencephalography was used to measure the magnetic counterpart of the mismatch negativity (MMNm) as a neural marker of prediction error in a multi-feature paradigm. Pitch, slide, intensity and timbre deviants were included. We compared high-entropy stimuli, consisting of a set of non-repetitive melodies, with low-entropy stimuli consisting of a simple, repetitive pitch pattern. Pitch entropy was quantitatively assessed with an information-theoretic model of auditory expectation. We found a reduction in pitch and slide MMNm amplitudes in the high-entropy as compared to the low-entropy context. No significant differences were found for intensity and timbre MMNm amplitudes. Furthermore, in a separate behavioral experiment investigating the detection of pitch deviants, similar decreases were found for accuracy measures in response to more fine-grained increases in pitch entropy. Our results are consistent with a precision modulation of auditory prediction error in a musical context, and suggest that this effect is specific to features that depend on the manipulated dimension—pitch information, in this case. Highlights <jats:list list-type="bullet"><jats:list-item> The mismatch negativity (MMNm) is reduced in musical contexts with high pitch uncertainty <jats:list-item> The MMNm reduction is restricted to pitch-related features <jats:list-item> Accuracy during deviance detection is reduced in contexts with higher uncertainty <jats:list-item> The results suggest a feature-selective precision modulation of prediction error Materials, data and scripts can be found in the Open Science Framework repository: http://bit.ly/music_entropy_MMN DOI: 10.17605/OSF.IO/MY6TE
    Authors
    Quiroga-Martinez, DR; Hansen, NC; Højlund, A; Pearce, M; Brattico, E; Vuust, P
    URI
    https://qmro.qmul.ac.uk/xmlui/handle/123456789/62225
    Collections
    • Electronic Engineering and Computer Science [2669]
    Licence information
    The copyright holder for this preprint is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. It is made available under a CC-BY-NC 4.0 International license.
    Copyright statements
    © The Author(s) 2019
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